NVIDIA is hiring a Senior Perception Engineer to design end-to-end perception solutions (lane graphs, road boundaries, traffic elements, online mapping) using deep learning for autonomous vehicles. The role requires hands-on experience with deep learning (e.g., PyTorch), strong programming skills (Python and/or C++), data-driven development with large labeling teams, and productizing models to meet safety, latency, and robustness requirements. Salary ranges are provided for different levels (annual USD).

Work on designing and implementing GPU profiling capabilities and performance tools from concept to production; collaborate with architects and performance engineers; maintain and improve a large codebase. Requires 3+ years writing production software (Python and C++), a foundation in computer architecture and performance analysis, and experience with parallel or accelerated computing. Posted salary ranges: USD 124,000–195,500 (Level 2) and USD 152,000–241,500 (Level 3).

NVIDIA seeks a Senior Cloud Infrastructure and DevOps Solutions Architect to advise customers and lead hands-on implementation of large-scale AI/HPC systems. The role covers system architecture, Kubernetes and container platforms, GPU-accelerated infrastructure, storage and networking, automation (Python/Bash, IaC), and observability, with responsibility for documentation, POCs, and technical leadership.

Responsible for designing, building and supporting large-scale AI/HPC infrastructure with emphasis on networking (InfiniBand, EVPN/BGP/OSPF/VXLAN), switch/router platforms (Cumulus Linux, SONiC, IOS, JunosOS, EOS), automation (Ansible, Salt, Python), CI/CD, and monitoring. Requires BS/MS/PhD or equivalent and at least 8 years' professional networking experience. Strong English communication and customer focus required. Poland-specific annual salary ranges are provided in the posting.

NVIDIA seeks a Senior Solutions Architect to work with customers, partners, and internal teams to design, implement, and optimize large-scale GPU-accelerated and AI/HPC infrastructure. The role requires 10+ years in large-scale data center service operations, expertise in networking, system design, automation, cloud orchestration (Kubernetes, Docker Swarm), HPC schedulers (Slurm), Linux/kernel-level knowledge, and up to 25% travel for customer engagements.

Join NVIDIA's Quantum Computing team to collaborate with internal teams and external partners to define system requirements and develop approaches for real-time quantum error correction and calibration across qubit modalities. The role involves translating product requirements into technical requirements, developing and reviewing test cases, and contributing to hardware, software, and firmware design. Candidates should have a bachelor's degree (or equivalent) and 5+ years of relevant post-bachelor engineering experience, including hands-on work with real qubits and quantum control systems software.

NVIDIA seeks a Solutions Architect (NVIS) to lead audit, planning, deployment, and validation of data center physical infrastructure—including power, cooling, cabling, compute, networking, and telemetry—ensuring adherence to NVIDIA reference architectures and industry standards. The role requires at least 3 years' experience in enterprise or hyperscale data center deployments, hands-on technical skills, QA and testing experience, and up to 40% travel.

NVIDIA seeks a Solutions Architect (NVIS) to plan, deploy, and validate data center infrastructure for AI/HPC environments, covering power distribution, cooling (liquid/air), cabling (fiber and copper), compute, networking, storage, and telemetry. Requires a bachelor's or equivalent, a minimum of 3 years of enterprise/hyperscale data center deployment experience, strong technical knowledge across the data center stack, and willingness to travel up to 40%. Posted salary ranges are provided for Level 3 and Level 4.

Senior Principal Architect in NVIDIA's Advanced Development team working on GPU Networking to optimize AI workloads. Responsibilities include leading vision, architecture, and proof-of-concept development across distributed AI, HPC, SDN, virtualization, storage and related data center technologies. Requires M.Sc. or Ph.D. (or equivalent), 8+ years industry experience in systems architecture or related fields, experience with virtualization, networking, storage, Windows and Linux drivers, and strong performance profiling and optimization skills.

Join NVIDIA's Hospitality and Travel Solutions Architecture team to provide hands-on technical mentorship, build POCs and demos, guide development and deployment of agentic GenAI workflows, and educate customers on NVIDIA GenAI stack. Role requires a Master's/PhD or equivalent and 8+ years in technical AI roles with experience deploying and optimizing LLMs, training/fine-tuning frameworks (TensorFlow, PyTorch, Hugging Face), GPU cluster architecture, and familiarity with DevOps tools (Docker, Kubernetes, GitLab, Linux).

Lead a portfolio of enterprise ISV accounts to accelerate integration, promotion, and sales of AI-powered solutions built on NVIDIA technologies. Responsibilities include account strategy, pipeline and forecasting, executive engagement, joint GTM planning, and cross-functional collaboration with engineers, product, and sales. Requires 12+ years in enterprise software sales/partner management and strong knowledge of AI, LLMs, RAG, inference, and related developer ecosystems.

NVIDIA is hiring a Senior Solutions Architect on the AI Technology Centre team in Zurich to partner with Swiss universities and research labs on Physical AI and robotics research. Responsibilities include identifying research opportunities, championing NVIDIA software platforms (Isaac Sim, Cosmos, GR00T, Warp, Newton), shaping institutional agreements, supporting grant funding, and liaising with product and engineering teams. Requires a Ph.D. in a relevant field, research publications, experience in academic research groups, comprehensive knowledge of robot learning/manipulation/locomotion/perception/sim‑to‑real/world models/autonomous systems, excellent English communication skills, and 5+ years of hands‑on AI research experience for robotics.

NVIDIA seeks a senior technical leader with 15+ years' experience building production simulation software for robotics, industrial machinery, automotive, aerospace, or related domains. The role focuses on multibody dynamics, contact/friction, deformables, FEM, solver design, validation against physical systems (HIL/SIL, calibration), and integration with robotics toolchains (ROS 2, CAD, URDF, OpenUSD). Experience with GPU acceleration (CUDA/Warp), reinforcement-learning/ sim-to-real workflows, and prior simulation architecture or technical leadership is strongly desired.

Role involves developing deep learning models for ASR, speech synthesis, neural machine translation and NLP; designing large-scale training algorithms; open-sourcing models via NeMo; mentoring interns; and publishing research. Requires PhD (or equivalent), strong Python and PyTorch skills, deep learning expertise, and a strong publications record.

Role responsible for profiling, benchmarking, and optimizing AI workloads (training and inference) across the full stack on DGX Station (GB300 Blackwell GPUs). Requires deep experience with GPU architecture, multi‑GPU scaling, deep learning frameworks (PyTorch/TensorFlow/JAX), CUDA/C++/Python, profiling tools (Nsight, CUPTI), and performance validation for production readiness.

Hands-on role responsible for end-to-end Windows enablement (bring-up through WHQL) and Linux platform support (kernel modules, device tree/ACPI, systemd, dkms) for DGX Station. Requires deep experience in firmware, drivers, OS integration, GPU/CUDA stack readiness, performance profiling, and cross-team/partner coordination; 12+ years experience requested.

NVIDIA seeks an EMEA Executive Assistant to support senior leaders in the revenue organization. Responsibilities include managing global calendars, coordinating travel and expenses, preparing agendas and presentations, tracking cross-functional projects, and producing executive reports. Requires 5+ years executive assistant experience across EMEA, strong organizational and communication skills, discretion, and willingness to travel to the London site 2–3 days per week.

Lead the full-stack system software architecture for Space-1 and successor Orbital Data Center modules — including BMC firmware, BIOS, host OS, GPU/CPU drivers, CUDA, DCGM, manageability telemetry, and fault/reliability strategies for long-duration LEO deployments. Requires 15+ years in server/platform system software, hands-on firmware/bring-up experience, and expertise with management protocols (Redfish, MCTP, PLDM) and rad-tolerant system behaviors.

Lead product strategy and execution for AI observability, profiling, agentic automation, and AI-native developer workflows. Partner with engineering, architecture, and platform teams to deliver AI-powered tooling and improve developer velocity. Requires 12+ years of product management experience building developer platforms or AI/ML systems and deep technical knowledge of AI/ML infrastructure, distributed training, inference optimization, and performance tooling.

NVIDIA is hiring a Developer Advocate for distributed training who will create demos, blogs, presentations, and code to support developers/researchers. The role involves designing and implementing distributed learning and post-training pipelines for LLMs/VLMs, optimizing training efficiency, and engaging community channels; travel is approximately 20%. Salary ranges are provided for different levels (USD 152,000–241,500 for Level 3; USD 184,000–287,500 for Level 4).